登入
洞見 - Conversational query reformulation
Leveraging Retrieved Documents to Enhance Conversational Query Reformulation for Improved Search Performance
Conversational Query Reformulation (CQR) can be improved by leveraging key information extracted from initially retrieved documents to generate more retriever-friendly queries.
Iterative Conversational Query Reformulation with Retrieval Guidance
IterCQR iteratively trains a conversational query reformulation model without human-annotated rewrites, utilizing retrieval signals as a reward to generate queries optimized for off-the-shelf retrievers.
© 2024 by Linnk AI